Senior Data Platform QA Engineer (Remote)

Quanata, LLC; San Francisco (CA); Remote; USD 198,000 - 281,000; Full time

Benefits offered by this job

Health, dental, vision benefits

Home office stipend for equipment

Paid time off and parental leave

Professional development stipend

Remote-friendly with SF office option

Job summary

Quanata, LLC is a remote-first company building context-based insurance solutions with a strong focus on data platforms and ML workflows. This role sits on our Data Platform QA team, delivering quality across automated testing for data pipelines and machine learning models.

You will partner with Data Engineers, ML Engineers, Data Scientists and DevOps to identify risks early, shape testing strategies, and ensure outputs can be trusted. Remote work is supported across the U.S.

Qualifications

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field, or an equivalent combination of education and relevant experience.
• Typically 6–8 years of software testing experience, including at least 3 years focused on data platform or machine learning testing.
• Strong programming skills with experience building and maintaining automated testing frameworks.
• Hands-on experience testing complex data platforms, pipelines, and distributed data processing systems.
• Strong understanding of data validation approaches, including data quality, integrity, consistency, and schema validation.
• Understanding of machine learning concepts, workflows, and model evaluation methods.
• Experience developing automated validation approaches for data and machine learning systems.
• Deep understanding of continuous integration, continuous delivery, and infrastructure automation practices.

Responsibilities

• Design and implement scalable automated testing frameworks for complex data pipelines, processing workflows, and machine learning models.
• Develop comprehensive testing strategies that address data quality, schema integrity, data drift, model accuracy, bias, and regression.
• Validate large-scale distributed data systems for accuracy, reliability, performance, and resilience.
• Partner across engineering, data science, and operations teams to embed quality throughout the software development and delivery lifecycle.
• Conduct exploratory testing to identify edge cases and risks in new features, data outputs, and machine learning workflows.
• Build continuous validation into automated development and deployment processes.
• Investigate production data and model failures, identify root causes, and help drive effective resolutions.
• Mentor junior SDETs and contribute to broader testing strategies, standards, and quality engineering best practices.

Skills

Software testing

Data platforms

Machine learning concepts

Automation frameworks

CI/CD

Education

Bachelor's or Master's in CS/Engineering

Tools

Python

SQL

Spark

Job description

Quanata, LLC is a remote-first company building context-based insurance solutions with a strong focus on data platforms and ML workflows. This role sits on our Data Platform QA team, delivering quality across automated testing for data pipelines and machine learning models.

You will partner with Data Engineers, ML Engineers, Data Scientists and DevOps to identify risks early, shape testing strategies, and ensure outputs can be trusted. Remote work is supported across the U.S.